Sean Trott

27 papers receiving 179 citations

Peers

Sean Trott
Comparison fields: 5 of 50
  • Health Informatics 12
  • Experimental and Cognitive Psychology 44
  • Artificial Intelligence 98
  • Cultural Studies 21
  • Developmental and Educational Psychology 27
Replace Francis Mollica with:
Francis Mollica United States
Marc Tomlinson United States
Margarett Clapper United States
Caroline Lehr Switzerland
Laurent Prévot France
Friederike Kern Germany
Annika Silvervarg Sweden
Dominique Brunato⋄ Italy
Yaron McNabb Netherlands
Kristen S. Gorman United States
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Citations per field
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Citations per year

Countries citing papers authored by Sean Trott

Since Specialization
Citations

This map shows the geographic impact of Sean Trott's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sean Trott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sean Trott more than expected).

Fields of papers citing papers by Sean Trott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sean Trott. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sean Trott. The network helps show where Sean Trott may publish in the future.

Co-authors

The 21 scholars most cited alongside Sean Trott, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sean Trott Line = papers co-authored together Sean Trott links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202359
2 202419
3 202410
4 201810
5 20249
6 20208
7 20227
8 20227
9 20237
10
A Theoretical Model of Indirect Request Comprehension.
20176
11 20226
12 20245
13
Grammar Scaling: Leveraging FrameNet Data to Increase Embodied Construction Grammar Coverage.
20174
14
Natural Language Understanding and Communication for Multi-Agent Systems.
20154
15 20184
16 20223
17 20242
18
Theoretical Concerns for the Integration of Repair.
20172
19
Prosodic cues signal the intent of potential indirect requests.
20192
20 20242

About Sean Trott

Sean Trott is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology, Cognitive Neuroscience, Developmental and Educational Psychology and Cultural Studies, having authored 28 papers that have together received 185 indexed citations. Recurring topics across this work include Speech and dialogue systems (9 papers), Natural Language Processing Techniques (9 papers), Topic Modeling (6 papers), Language, Metaphor, and Cognition (5 papers), Language and cultural evolution (4 papers), Neurobiology of Language and Bilingualism (4 papers), Child and Animal Learning Development (4 papers) and Language, Discourse, Communication Strategies (3 papers). The work is most often cited by research in Health Informatics (12 citations), Experimental and Cognitive Psychology (44 citations), Artificial Intelligence (98 citations), Cultural Studies (21 citations) and Developmental and Educational Psychology (27 citations). Sean Trott has collaborated with scholars based in United States, Netherlands and France. Frequent co-authors include Benjamin K. Bergen, Peter S. Park, Philip E. Tetlock, Victor S. Ferreira, Philipp Schoenegger, Marta Kutas, Federico Rossano, Katherine A. DeLong, Ezra Karger and Adam Janin. Their work appears in journals such as Discourse Processes, Cognition, Behavior Research Methods, Cognitive Science and Journal of French Language Studies.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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